Performance Evaluation of Convolution Neural Network Based Object Detection Model for Bangladeshi Traffic Vehicle Detection-Reference-Cited by-同舟云学术

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Performance Evaluation of Convolution Neural Network Based Object Detection Model for Bangladeshi Traffic Vehicle Detection

Published:2021-12-04 Issue: Volume: Page:115-128
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:
Short-container-title:

Author:

Sadakatul Bari S. M.,Islam Rafiul,Mardia Syeda Radiatum

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6636-0_10

Reference14 articles.

1. Sun X, Huang Q, Li Y, Huang Y (2019) An improved vehicle detection algorithm based on YOLOV3. In: IEEE international conference on parallel & distributed processing with applications, big data & cloud computing, sustainable computing & communications, social computing & networking. IEEE, Xiamen, China, pp 1445–1450

2. Zhou Y, Liu L, Shao L (2018) Fast automatic vehicle annotation for urban traffic surveillance. IEEE Trans Intell Transp Syst 19(6):1973–1984

3. Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, Las Vegas, NV, USA, pp 779–788

4. Girshick R (2015) Fast R-CNN. In: Proceedings of the IEEE ınternational conference on computer vision. IEEE, Santiago, Chile, pp 127–135

5. Ren S, He K, Girshick R, Sun J (2017) Faster R-CNN: towards realtime object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 39:1137–1149

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development and Testing Intelligent Video Surveillance Systems Based on the CNN Algorithm;Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23);2023

2. Detection of Motorcyclists Without a Safety Helmet Through YOLO: Support for Road Safety;Communications in Computer and Information Science;2022

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